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来源类型Working Paper
规范类型报告
DOI10.3386/w20390
来源IDWorking Paper 20390
Perturbation Methods for Markov-Switching DSGE Models
Andrew Foerster; Juan Rubio-Ramírez; Daniel F. Waggoner; Tao Zha
发表日期2014-08-21
出版年2014
语种英语
摘要Markov-switching DSGE (MSDSGE) modeling has become a growing body of literature on economic and policy issues related to structural shifts. This paper develops a general perturbation methodology for constructing high-order approximations to the solutions of MSDSGE models. Our new method, called "the partition perturbation method,'' partitions the Markov-switching parameter space to keep a maximum number of time-varying parameters from perturbation. For this method to work in practice, we show how to reduce the potentially intractable problem of solving MSDSGE models to the manageable problem of solving a system of quadratic polynomial equations. We propose to use the theory of Gröbner bases for solving such a quadratic system. This approach allows us to first obtain all the solutions and then determine how many of them are stable. We illustrate the tractability of our methodology through two examples.
主题Microeconomics ; Mathematical Tools ; Macroeconomics ; Business Cycles ; Financial Economics ; Financial Markets
URLhttps://www.nber.org/papers/w20390
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/578064
推荐引用方式
GB/T 7714
Andrew Foerster,Juan Rubio-Ramírez,Daniel F. Waggoner,et al. Perturbation Methods for Markov-Switching DSGE Models. 2014.
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